Approximate Bayesian Inference in Linear State Space Models for Intermittent Demand Forecasting at Scale

Matthias Seeger, Syama Rangapuram, Yuyang Wang +4

We present a scalable and robust Bayesian inference method for linear state space models. The method is applied to demand forecasting in the context of a large e-commerce platform,…